Job
Description
Software Requirements Required Skills: Proficiency in Python (version 3.6+) with experience in data analysis, manipulation, and scripting Knowledge of SQL for data extraction, transformation, and database querying Experience with data visualization tools such as PowerBI , Tableau , or QlikView Familiarity with AI and Machine Learning frameworks such as TensorFlow , Keras , PyTorch , or equivalent Hands-on experience in developing, deploying, and optimizing machine learning models Preferred Skills: Experience with R for data analysis Familiarity with cloud platforms like AWS , Azure , or GCP for deploying AI solutions Knowledge of version control systems such as Git Overall Responsibilities Analyze, interpret, and visualize large and complex datasets to extract actionable insights Design, develop, and implement machine learning and AI models for predictive and prescriptive analytics Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions Communicate findings, insights, and recommendations via reports, dashboards, and presentations to stakeholders Evaluate and refine models and algorithms to maximize accuracy, efficiency, and impact Stay informed on emerging AI, Data Science, and analytics trends and incorporate best practices into projects Support automation efforts, optimize data pipelines, and enhance existing analytical workflows Contribute to organizational learning by sharing knowledge and mentoring team members Strategic objectives: Drive innovation through the application of AI and machine learning Enable data-driven decision-making across business units Improve operational efficiencies and business outcomes Performance outcomes: Accurate, robust, and scalable AI models High-quality insights delivered on time and aligned with business needs Well-documented solutions and knowledge-sharing artifacts Technical Skills (By Category) Programming Languages (Essential): Python (required); experience with R is a plus SQL (required); experience with data manipulation and querying Data Analysis & Visualization Tools (Essential): PowerBI, Tableau, or QlikView Frameworks & Libraries (Essential): TensorFlow, Keras, PyTorch, or similar frameworks for AI/ML development Data Management & Databases (Essential): Relational databases (e.g., MySQL, PostgreSQL, Oracle) Data extraction and transformation (ETL processes) Cloud & Deployment (Preferred): Experience deploying models on cloud platforms such as AWS, Azure, GCP Development & Version Control (Preferred): Git for code versioning Other Skills: Strong statistical knowledge and experience with data preprocessing, feature engineering Familiarity with agile development methodologies Experience Requirements 3 to 5 years of relevant experience in AI, Data Science, or Data Analytics roles Proven track record applying machine learning techniques to real-world problems Experience working with large datasets and scalable data pipelines Experience collaborating with cross-functional teams to deliver analytics-driven solutions Industry experience in finance, healthcare, retail, or similar data-rich sectors is preferred Alternative pathways: Candidates with extensive AI & ML project experience, strong programming skills, and relevant certifications can be considered with slightly varied years of experience Day-to-Day Activities Collect, clean, and explore large datasets to identify patterns and insights Develop and tune machine learning models to address business problems Collaborate with business analysts, data engineers, and product owners to align technical solutions with organizational goals Document methodologies, code, and analytical findings to ensure reproducibility and knowledge sharing Create dashboards, visualizations, and reports to communicate insights effectively Evaluate model performance regularly and optimize models for accuracy and efficiency Participate in team meetings, project planning, and review sessions Keep abreast of advancements in AI/ML technologies, tools, and best practices Qualifications Bachelors degree in Computer Science , Data Science , Statistics , or related field Masters degree or higher in AI, Data Science, or related disciplines is a plus Professional certifications in AI/ML (e.g., TensorFlow Developer, AWS Machine Learning Specialty) are advantageous Willing to learn new tools and stay updated with emerging AI trends Ability to work independently and collaborate effectively in a dynamic environment Professional Competencies Analytical and problem-solving mindset with a focus on actionable insights Excellent verbal and written communication skills for diverse audiences Strong interpersonal skills and stakeholder management Adaptability to fast-changing technology landscapes Growth mindset with continuous learning enthusiasm Organizational skills to handle multiple projects and priorities simultaneously Innovation-driven approach and proactive problem resolution
